Arnold Chen's repositories
Activity-Recognition-TensorRT
3D ResNet Video Classification accelerated by TensorRT
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
avod
Code for 3D object detection for autonomous driving
coco2yolo
Converts MS COCO to YOLO,given data foramt to COCO and DOTA to COCO
cpp-base64
base64 encoding and decoding with c++
DBFace
DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
fast-reid
SOTA ReID Methods and Toolbox
gstreamer
GStreamer open-source multimedia framework
hard_decode_trt
Yolov5 inference on NVDec hardware decoder
ICCVW21-LiDAR-Panoptic-Segmentation-TradiCV-Survey-of-Point-Cloud-Cluster
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
kitti2bag
Convert KITTI dataset to ROS bag file the easy way!
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
LSTR
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
pcd2rosbag
convert pcd files to rosbag
rosbridge2cpp
A C++11 library to interface ROS via rosbridge
second.pytorch
SECOND for KITTI/NuScenes object detection
shouxie_RNN
shouxie_RNN
STDC-Seg
Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"
tensorflow-onnx
Convert TensorFlow models to ONNX
TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
tensorRTIntegrate
TensorRT ONNX Plugin、Inference、Compile
tflite_gles_app
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB
yolov5_trt
Implement yolov5 s/m//l/x with TensorRT API and support serialization/deserialization+image detection/video detection and recording